Evidence map›Paper›PMID 35259251›Full record

ReviewEuropean heart journal2022

The year in cardiovascular medicine 2021: imaging.

Chiara Bucciarelli-Ducci, Nina Ajmone-Marsan, Marcelo Di Carli, Edward Nicol

Open access · hybridAbstract readReview
In one paragraph

Review in European heart journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 3 countries.

Chiara Bucciarelli-DucciRoyal Brompton and Harefield Hospitals, Guys' and St Thomas NHS Trust and School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.ORCID 0000-0002-2515-0852
Nina Ajmone-MarsanDepartment of Cardiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Marcelo Di CarliCardiovascular Imaging Program, Department of Radiology, Heart and Vascular Center, Harvard Medical School, Boston, MA, USA.
Edward NicolRoyal Brompton and Harefield Hospitals, Guys' and St Thomas NHS Trust and School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, UK.
King's College London · GBBrigham and Women's Hospital · USLeiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article reviews the most relevant literature published in 2021 on the role of cardiovascular imaging in cardiovascular medicine. Coronavirus disease 2019 (COVID-19) continued to impact the healthcare landscape, resulting in reduced access to hospital-based cardiovascular care including reduced routine diagnostic cardiovascular testing. However, imaging has also facilitated the understanding of the presence and extent of myocardial damage caused by the coronavirus infection. What has dominated the imaging literature beyond the pandemic are novel data on valvular heart disease, the increasing use of artificial intelligence (AI) applied to imaging, and the use of advanced imaging modalities in both ischaemic heart disease and cardiac amyloidosis.

Indexed as

AmyloidosisCOVID-19Myocardial IschemiaArtificial IntelligenceHeartHumansMagnetic Resonance ImagingAmyloidosisCardiac CTCMREchocardiographyImagingIschaemic heart diseaseMagnetic resonancePETSPECTValvular heart disease

Identifiers

PMID35259251
PMCPMC8970999
OpenAlexW4214522679

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.